AI Incident 122: Unintended Autocomplete Suggestions Causing Data Breaches
Recent AI incident #122 highlights the importance of responsible AI governance in preventing data breaches. An unintended autocomplete feature in a popular search engine suggested sensitive information to users, leading to multiple data breaches. This underscores the need for safe and secure AI practices, particularly when it comes to handling user data. The incident is currently being analyzed under HISPI Project Cerebellum TAIM. Through JOIN US, contributors can learn more about our efforts in harm prevention and guardrails for AI.
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/122
Data source
Incident data is from the AI Incident Database (AIID).
When citing the database as a whole, please use:
McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.
Pre-print on arXiv · Database snapshots & citation guide
We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.